This session delves into advanced LangChain concepts, focusing on agents and memory to create intelligent, context-aware applications. Students will learn how agents work, enabling dynamic task execution by selecting the right tools and strategies. Additionally, they will implement memory to maintain conversation history, improving interactions over time. Through practical exercises, students will build and test AI agents capable of handling multi-step processes with contextual awareness. By the end of the lecture, participants will be equipped to develop adaptive, real-world AI applications using LangChain.